28 citations · 28 across the 3 of their papers we have counts for
3 papers
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification
Anand Ramakrishnan, Minh Pham, Jacob Whitehill
For the task of face verification, we explore the utility of harnessing auxiliary facial emotion labels to impose explicit geometric constraints on the embedding space when trainin…
Error Autocorrelation Objective Function for Improved System Modeling
Anand Ramakrishnan, Warren B. Jackson, Kent Evans
Deep learning models are trained to minimize the error between the model's output and the actual values. The typical cost function, the Mean Squared Error (MSE), arises from maximi…
Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate
Anand Ramakrishnan, Brian Zylich, Erin Ottmar +2
In this work we present a multi-modal machine learning-based system, which we call ACORN, to analyze videos of school classrooms for the Positive Climate (PC) and Negative Climate…